Multi-Agent Simulations for Assumption Testing and Analysis (Free)
Synthetic user feedback instead of surveys, but persona design and relevance unverified.

Turns product testing into a Reddit-like sandbox: spawn opinionated AI personas, run threaded chats and collect 'insights' before you go public. The UI hints at practical workflows (Input / Personas / Chat / Insights and 'real data input now supported'), but the product's usefulness will hinge on persona fidelity, dataset provenance, and how it handles bias and edge cases.
Product managers, founders, UX researchers, growth marketers, community managers
Synthetic user feedback instead of surveys, but persona design and relevance unverified.
Meshless Voronoi discretization running realtime on Vulkan is genuinely clever.
Monte Carlo retirement simulation when standard calculators exist.
The author distills a simple, usable playbook — Awareness, Challenge, Test — and illustrates it with a concrete Auth0 vs build story that saved real money. It also gives the inversion review technique and an actual script for selling short spikes to skeptical managers; useful, tactical advice. What’s missing is tooling: a downloadable checklist or an interactive assumption-audit would turn this from a helpful essay into something you’d use repeatedly across teams.
Simulated SWIFT payments and Hogan Banking APIs for agent stress testing.
Reddit for interactive WebGL shaders with live math explanations built-in.